Evidence map›Paper›PMID 40533852›Full record

ArticleEuropean journal of medical research2025

Unveiling genetic and biological links: exploring the intersection of autoimmune and psychiatric disorders.

Abulikemu Liwayiding, Aierpati Maimaiti, Lin Pan, Mingrui Huang, Wenzhuo Yang, Rena Abudusalamu

Abstract read
In one paragraph

Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Abulikemu Liwayiding *Department of Neurology, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi, 830054, Xinjiang, China.
Aierpati Maimaiti *Department of Neurosurgery Central, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi, 830054, Xinjiang, China.
Lin PanDepartment of Neurology, Neuroscience Research Center, The First Hospital of Jilin University, Changchun, China.
Mingrui HuangThe First Norman Bethune College of Clinical Medicine, Jilin University, Changchun, 130021, China.
Wenzhuo YangDepartment of Neurosurgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Rena AbudusalamuDepartment of Neurology, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi, 830054, Xinjiang, China. rena0425@outlook.com.

Funding

Xinjiang Uygur Autonomous Region Nature Fund Youth Program 2022D01C759
6 · The paper itself

Abstract

backgroundA substantial body of observational evidence suggests the genetic link between autoimmune system diseases and psychiatric disorders. However, the shared genetic mechanisms remain largely unclear. This study aims to systematically explore these genetic correlations and identify potential therapeutic targets through integrative bioinformatics analyses.

methodsWe conducted a comprehensive analysis by integrating genome-wide association study (GWAS) summary data from public databases, including 15 autoimmune diseases and 8 psychiatric disorders. We examined genome-wide and regional genetic correlations and overlaps between these disorders using LDSC, HDL, LAVA, and GPA. Potential pleiotropic single nucleotide variants (SNVs) were identified through PLACO analysis. FUMA and GCTA-COJO were further used to scrutinize. In addition, MAGMA, POPS, and SMR were utilized to investigate their functions, biological mechanisms, and expression across various cell types and tissues.

resultsOf the 120 trait pairs analyzed, 105 exhibited significant genome-wide genetic correlations or overlaps. We identified 864 pleiotropic loci and annotated 36 pleiotropic genes involved in immune response, cell activation, and signaling pathways. Notably, 11 pleiotropic genes (IL2RB, INSR, CD3G, CD247, CKB, PLCL1, STAT3, IL6R, SLAMF7, BLK, and HSPH1) were highlighted as potential therapeutic targets, reflecting their key roles in the shared genetic architecture of autoimmune and psychiatric disorders. In addition, 41 unique plasma proteins were associated with either condition.

conclusionsThis study provides new insights into the shared genetic landscape and biological mechanisms underlying autoimmune and psychiatric disorders. The identification of key pleiotropic genes offers promising avenues for future research and therapeutic intervention.

Indexed as

Autoimmune DiseasesMental DisordersComputational BiologyGenetic PleiotropyGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single Nucleotide

Identifiers

PMID40533852
PMCPMC12175323

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.